Pragyan Subedi

Pragyan Subedi

Machine Learning Engineer @ Ten Lives

About Pragyan Subedi

Pragyan Subedi is a Machine Learning Engineer currently working at Ten Lives, where he has made significant contributions to DNA analytics and deep learning applications. He has a diverse background in data science and engineering, having held various roles at organizations such as UOB Asset Management, Toptal, and Kharpann Enterprises.

Current Role at Ten Lives

Pragyan Subedi serves as a Machine Learning Engineer at Ten Lives since 2023, working remotely from the San Francisco Bay Area. In this role, he has engineered and developed a full-stack DNA analytics dashboard that allows users to view data samples, generate model predictions, and analyze DNA sequences. He has also designed and implemented an end-to-end Machine Learning pipeline, facilitating extensive big-data processing and delivering model predictions through custom-built APIs.

Previous Experience at UOB Asset Management

Prior to his current role, Pragyan worked at UOB Asset Management as a Data Visualization Expert and Business Analyst for 11 months in 2022 in Singapore. His responsibilities included analyzing data and creating visual representations to aid in decision-making processes.

Experience at Kharpann Enterprises

Pragyan held the position of Principal Data Scientist at Kharpann Enterprises from 2019 to 2023. During this time, he contributed to various data science projects, leveraging his expertise to drive insights and support business objectives.

Contributions to DNA Sequence Analysis

At Ten Lives, Pragyan significantly contributed to increasing the novel DNA sequence yield, which reduced years of experimentation time. He orchestrated the development of a robust data ETL pipeline capable of processing over 100 million DNA sequences using distributed parallel computing on supercomputers.

Educational Background in Computer Engineering

Pragyan Subedi earned his Bachelor's degree in Computer Engineering from Kathmandu Engineering College. His educational background provided a strong foundation for his career in data science and machine learning.

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